Staff Data Scientist (AI)

TL;DR

Staff Data Scientist (AI): Architecting advanced analytical frameworks and AI-driven solutions for the Expert Network within the Customer Success team with an accent on causal inference, experimentation design, and predictive modeling. Focus on scaling GenAI applications, driving personalization, and influencing product strategy through data-driven insights.

Location: Must be based in San Diego or Mountain View, California

Company

hirify.global is a global financial technology platform powering prosperity for millions of customers through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Design and deploy scalable machine learning models including ensemble methods, deep learning, and uplift modeling.
• Own the end-to-end experimentation pipeline, from hypothesis generation to causal interpretation.
• Lead causal inference and econometric analyses to quantify business growth levers.
• Collaborate with the Central AI team to productionalize personalization and automation models.
• Deliver data-driven narratives to VP and Director-level stakeholders to influence product vision.
• Mentor senior data scientists and establish best practices in experimental design and responsible AI.

Requirements

• Master’s or PhD degree in Computer Science, Statistics, Econometrics, or a quantitative field.
• 7+ years of progressive experience in applied data science roles.
• Expert-level proficiency in SQL and Python or R.
• Proven experience integrating ML models into production environments.
• Deep knowledge of experimental design, causal inference, and GenAI at scale.
• Strong communication skills with the ability to translate complex analytics into strategic guidance.

Culture & Benefits

• Competitive compensation package with pay-for-performance rewards.
• Eligibility for cash bonuses and equity rewards.
• Comprehensive benefits package including health insurance and retirement plans.
• Commitment to fair pay through regular comparisons across ethnicity and gender.
• Culture of analytical excellence, scientific rigor, and continuous innovation.